code stringlengths 2k 1.04M | repo_path stringlengths 5 517 | parsed_code stringlengths 0 1.04M | quality_prob float64 0.02 0.95 | learning_prob float64 0.02 0.93 |
|---|---|---|---|---|
import sys
from pyspark.sql.functions import *
from pyspark.sql import Row
from pyspark.sql import SparkSession
from AQPython.Annotation import *
spark = SparkSession.builder.getOrCreate()
def FilterProperty(df, name, value="", valueArr=[], valueCompare="=", limit=0, negate=False):
"""Provide the ability to filter ... | AQPython/Query.py | import sys
from pyspark.sql.functions import *
from pyspark.sql import Row
from pyspark.sql import SparkSession
from AQPython.Annotation import *
spark = SparkSession.builder.getOrCreate()
def FilterProperty(df, name, value="", valueArr=[], valueCompare="=", limit=0, negate=False):
"""Provide the ability to filter ... | 0.749546 | 0.642517 |
from pathlib import Path
from bokeh.palettes import diverging_palette
import geopandas as gpd
import numpy as np
import pandas as pd
import pandas_bokeh
data_dir = Path("../data")
html_dir = Path("../html")
pandas_bokeh.output_notebook()
# %%
esbmap_stations = (
gpd.read_file(
data_dir / "heatmap_statio... | notebooks/plot_clustered_esbmap_stations.py | from pathlib import Path
from bokeh.palettes import diverging_palette
import geopandas as gpd
import numpy as np
import pandas as pd
import pandas_bokeh
data_dir = Path("../data")
html_dir = Path("../html")
pandas_bokeh.output_notebook()
# %%
esbmap_stations = (
gpd.read_file(
data_dir / "heatmap_statio... | 0.669313 | 0.302423 |
import pygame
class Window:
"""
The Window class is a wrapper around a pygame window.
It provides very basic rendering functionallity.
Attributes:
-----------------
background_colour : list(int, int, int)
The background colour provided to the constructor.
... | provided_code/window.py | import pygame
class Window:
"""
The Window class is a wrapper around a pygame window.
It provides very basic rendering functionallity.
Attributes:
-----------------
background_colour : list(int, int, int)
The background colour provided to the constructor.
... | 0.883053 | 0.462412 |
class RecognitionConfig(object):
class AudioEncoding(object):
"""
Audio encoding of the data sent in the audio message. All encodings support
only 1 channel (mono) audio. Only ``FLAC`` includes a header that describes
the bytes of audio that follow the header. The other encodings are... | generated/python/gapic-google-cloud-speech-v1beta1/google/cloud/gapic/speech/v1beta1/enums.py | class RecognitionConfig(object):
class AudioEncoding(object):
"""
Audio encoding of the data sent in the audio message. All encodings support
only 1 channel (mono) audio. Only ``FLAC`` includes a header that describes
the bytes of audio that follow the header. The other encodings are... | 0.901324 | 0.655198 |
import copy
import glob
import jinja2
import jinja2.ext
import os
import shutil
import subprocess
import sys
import yaml
# For list.append in Jinja templates
Jinja2 = jinja2.Environment(loader=jinja2.FileSystemLoader(searchpath="."),extensions=['jinja2.ext.do'])
def file_get_contents(filename, encoding=None):
wi... | openssh/oqs-template/generate.py |
import copy
import glob
import jinja2
import jinja2.ext
import os
import shutil
import subprocess
import sys
import yaml
# For list.append in Jinja templates
Jinja2 = jinja2.Environment(loader=jinja2.FileSystemLoader(searchpath="."),extensions=['jinja2.ext.do'])
def file_get_contents(filename, encoding=None):
wi... | 0.203708 | 0.057467 |
import traceback
from flask import Flask, Response, request, jsonify
from flask.ext.cors import CORS, cross_origin
from TermSuggestionsAggregator import TermSuggestionsAggregator, Aggregation
from elsearch import ELSearch
from wnsearch import WNSearch
from word2vec import Word2VecSuggester
from precomputed import Preco... | webserver/webTermSuggester.py | import traceback
from flask import Flask, Response, request, jsonify
from flask.ext.cors import CORS, cross_origin
from TermSuggestionsAggregator import TermSuggestionsAggregator, Aggregation
from elsearch import ELSearch
from wnsearch import WNSearch
from word2vec import Word2VecSuggester
from precomputed import Preco... | 0.32338 | 0.106877 |
import os
import json
from pysls.src.events.generate_event import generete_event
event_sam_file_base = 'event_sam'
event_pysls_file_base = 'event_pysls'
def compare(event_sam_file, event_pysls_file):
with open(event_sam_file, 'r') as event_sam:
event_sam_content = json.load(event_sam)
with open(event_... | pysls/tests/generate_event_test.py | import os
import json
from pysls.src.events.generate_event import generete_event
event_sam_file_base = 'event_sam'
event_pysls_file_base = 'event_pysls'
def compare(event_sam_file, event_pysls_file):
with open(event_sam_file, 'r') as event_sam:
event_sam_content = json.load(event_sam)
with open(event_... | 0.222362 | 0.138724 |
import subprocess
from pathlib import Path
# configs
samples = [
"mada_1-19",
"mada_1-8",
"mada_1-6",
"mada_103",
"mada_1-1",
"mada_130",
"mada_132",
"mada_128",
"mada_2-1",
"mada_1-51",
"mada_1-20",
"mada_2-31",
"mada_109",
"mada_112",
"mada_1-5",
"mada_... | pipelines/snakemake/scripts/compare_kept_reads.py | import subprocess
from pathlib import Path
# configs
samples = [
"mada_1-19",
"mada_1-8",
"mada_1-6",
"mada_103",
"mada_1-1",
"mada_130",
"mada_132",
"mada_128",
"mada_2-1",
"mada_1-51",
"mada_1-20",
"mada_2-31",
"mada_109",
"mada_112",
"mada_1-5",
"mada_... | 0.264263 | 0.305011 |
import dash
import dash_html_components as html
import dash_bootstrap_components as dbc
import base64
# Author parameters
bg_color="#506784",
font_color="#F3F6FA"
author = "<NAME>"
emailAuthor = "<EMAIL>"
supervisor = "Prof. <NAME>"
emailSupervisor = "<EMAIL>"
logo1path = "./pictures/1200px-Louvain_School_of_Managemen... | appHeader.py | import dash
import dash_html_components as html
import dash_bootstrap_components as dbc
import base64
# Author parameters
bg_color="#506784",
font_color="#F3F6FA"
author = "<NAME>"
emailAuthor = "<EMAIL>"
supervisor = "Prof. <NAME>"
emailSupervisor = "<EMAIL>"
logo1path = "./pictures/1200px-Louvain_School_of_Managemen... | 0.376623 | 0.156846 |
import json
import os
import shutil
import sys
from argparse import ArgumentParser
from pathlib import Path
from catalyst.utils import load_ordered_yaml
from jinja2 import Environment, FileSystemLoader
sys.path.insert(0, str(Path(__file__).absolute().parent.parent / "src"))
from data.data_info import TargetMapInfo
fr... | data_preparation/make_config.py | import json
import os
import shutil
import sys
from argparse import ArgumentParser
from pathlib import Path
from catalyst.utils import load_ordered_yaml
from jinja2 import Environment, FileSystemLoader
sys.path.insert(0, str(Path(__file__).absolute().parent.parent / "src"))
from data.data_info import TargetMapInfo
fr... | 0.391755 | 0.119974 |
import unittest
from numpy import array, linspace, ones
from numpy.testing import assert_array_equal
from chaco.api import DataRange1D
from chaco.function_data_source import FunctionDataSource
from traits.testing.unittest_tools import UnittestTools
class FunctionDataSourceTestCase(UnittestTools, unittest.... | chaco/tests/function_data_source_test_case.py | import unittest
from numpy import array, linspace, ones
from numpy.testing import assert_array_equal
from chaco.api import DataRange1D
from chaco.function_data_source import FunctionDataSource
from traits.testing.unittest_tools import UnittestTools
class FunctionDataSourceTestCase(UnittestTools, unittest.... | 0.587943 | 0.695648 |
from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit import RDLogger
RDLogger.DisableLog('rdApp.*')
import logging
import numpy as np
import os.path as osp
import pandas as pd
from torch_geometric.data import Data
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, m... | src/baseline/train_ap.py | from rdkit import Chem
from rdkit.Chem import AllChem
from rdkit import RDLogger
RDLogger.DisableLog('rdApp.*')
import logging
import numpy as np
import os.path as osp
import pandas as pd
from torch_geometric.data import Data
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score, m... | 0.879574 | 0.528229 |
import os
import os.path
import pickle
import traceback
from collections import deque, Counter
import numpy as np
import pandas as pd
from state import Molecule, Atom, Bond, length, distance
from util import mp_map_parititons
def main():
mp_map_parititons(process_partition)
def process_partition(index):
t... | compute_features.py | import os
import os.path
import pickle
import traceback
from collections import deque, Counter
import numpy as np
import pandas as pd
from state import Molecule, Atom, Bond, length, distance
from util import mp_map_parititons
def main():
mp_map_parititons(process_partition)
def process_partition(index):
t... | 0.390592 | 0.242873 |
from __future__ import unicode_literals
import flask
from flask import Blueprint, request
import flask_restplus as restplus
# Add a dummy Resource to verify that the app is properly set.
class HelloWorld(restplus.Resource):
def get(self):
return {}
class GoodbyeWorld(restplus.Resource):
def __ini... | tests/legacy/test_api_with_blueprint.py | from __future__ import unicode_literals
import flask
from flask import Blueprint, request
import flask_restplus as restplus
# Add a dummy Resource to verify that the app is properly set.
class HelloWorld(restplus.Resource):
def get(self):
return {}
class GoodbyeWorld(restplus.Resource):
def __ini... | 0.568775 | 0.126353 |
from esper.prelude import *
from .queries import query
@query("Conversations")
def conversations_for_display():
from query.models import FaceCharacterActor, Shot
from rekall.video_interval_collection import VideoIntervalCollection
from rekall.parsers import in_array, bbox_payload_parser, merge_dict_parsers... | app/esper/queries/conversations.py | from esper.prelude import *
from .queries import query
@query("Conversations")
def conversations_for_display():
from query.models import FaceCharacterActor, Shot
from rekall.video_interval_collection import VideoIntervalCollection
from rekall.parsers import in_array, bbox_payload_parser, merge_dict_parsers... | 0.228845 | 0.185394 |
from datetime import datetime
from typing import Callable, List, Optional, Union
import pandas as pd
import pyarrow
import pytz
from pydantic.typing import Literal
from feast import FileSource, OnDemandFeatureView
from feast.data_source import DataSource
from feast.errors import FeastJoinKeysDuringMaterialization
fro... | sdk/python/feast/infra/offline_stores/file.py | from datetime import datetime
from typing import Callable, List, Optional, Union
import pandas as pd
import pyarrow
import pytz
from pydantic.typing import Literal
from feast import FileSource, OnDemandFeatureView
from feast.data_source import DataSource
from feast.errors import FeastJoinKeysDuringMaterialization
fro... | 0.887935 | 0.32748 |
from aioclustermanager.k8s.caller import K8SCaller
from base64 import b64decode
import aiohttp
import asyncio
import logging
import os
import ssl
import tempfile
logger = logging.getLogger('aioclustermanager')
SERVICE_HOST_ENV_NAME = "KUBERNETES_SERVICE_HOST"
SERVICE_PORT_ENV_NAME = "KUBERNETES_SERVICE_PORT"
SERVICE... | aioclustermanager/k8s/__init__.py | from aioclustermanager.k8s.caller import K8SCaller
from base64 import b64decode
import aiohttp
import asyncio
import logging
import os
import ssl
import tempfile
logger = logging.getLogger('aioclustermanager')
SERVICE_HOST_ENV_NAME = "KUBERNETES_SERVICE_HOST"
SERVICE_PORT_ENV_NAME = "KUBERNETES_SERVICE_PORT"
SERVICE... | 0.385722 | 0.059456 |
# Function to find the lowest common ancestor in a BST.
from collections import deque
def LCA(root, n1, n2):
# code here.
if min(n1, n2) <= root.data <= max(n1, n2):
return root
else:
l = r = 0
if root.left != None:
l = LCA(root.left, n1, n2)
if root.right != ... | Competitive Programming/Binary Search Trees/Lowest Common Ancestor in a BST.py |
# Function to find the lowest common ancestor in a BST.
from collections import deque
def LCA(root, n1, n2):
# code here.
if min(n1, n2) <= root.data <= max(n1, n2):
return root
else:
l = r = 0
if root.left != None:
l = LCA(root.left, n1, n2)
if root.right != ... | 0.750918 | 0.643525 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
from .registry import register_model
from .helpers import load_pretrained
from .adaptive_avgmax_pool import SelectAdaptivePool2d
from .constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
__all__ = ['Xceptio... | deeptensor/model/timm/gluon_xception.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
from .registry import register_model
from .helpers import load_pretrained
from .adaptive_avgmax_pool import SelectAdaptivePool2d
from .constants import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
__all__ = ['Xceptio... | 0.736495 | 0.385057 |
import argparse
import os
import random
from glob import glob
from pathlib import Path
import click
import numpy as np
import tifffile
from PIL import Image
from tqdm import tqdm
def img_loader(fp):
if Path(fp).suffix.lower() in [".jpg", ".jpeg", ".png"]:
arr = np.array(Image.open(fp))
else:
... | torchsat_imc/cli/calcuate_mean_std.py | import argparse
import os
import random
from glob import glob
from pathlib import Path
import click
import numpy as np
import tifffile
from PIL import Image
from tqdm import tqdm
def img_loader(fp):
if Path(fp).suffix.lower() in [".jpg", ".jpeg", ".png"]:
arr = np.array(Image.open(fp))
else:
... | 0.478773 | 0.222964 |
import numpy as np
from .. import ccllib as lib
from ..core import check
from ..pk2d import Pk2D
from ..power import linear_matter_power, nonlin_matter_power
from ..background import growth_factor
from .tracers import PTTracer
try:
import fastpt as fpt
HAVE_FASTPT = True
except ImportError:
HAVE_FASTPT = F... | pyccl/nl_pt/power.py | import numpy as np
from .. import ccllib as lib
from ..core import check
from ..pk2d import Pk2D
from ..power import linear_matter_power, nonlin_matter_power
from ..background import growth_factor
from .tracers import PTTracer
try:
import fastpt as fpt
HAVE_FASTPT = True
except ImportError:
HAVE_FASTPT = F... | 0.836888 | 0.509154 |
import os
from collections import namedtuple
from subprocess import check_output
import numpy as np
import psycopg2
def establish_connection():
"""Connect to an existing database
"""
conn = psycopg2.connect("dbname=vagrant user=vagrant")
return conn
def parse_season_day_period(time_id):
"""Return... | models/energy_supply/utilities.py | import os
from collections import namedtuple
from subprocess import check_output
import numpy as np
import psycopg2
def establish_connection():
"""Connect to an existing database
"""
conn = psycopg2.connect("dbname=vagrant user=vagrant")
return conn
def parse_season_day_period(time_id):
"""Return... | 0.612078 | 0.52476 |
from __future__ import print_function
import argparse
import pandas as pd
TAXLEVELS = {'k': 'kingdom',
'p': 'phylum',
'c': 'class',
'o': 'order',
'f': 'family',
'g': 'genus',
's': 'species',
't': 'subtype'}
def main():
'... | scripts/metaphlan2_taxprofile2csv.py |
from __future__ import print_function
import argparse
import pandas as pd
TAXLEVELS = {'k': 'kingdom',
'p': 'phylum',
'c': 'class',
'o': 'order',
'f': 'family',
'g': 'genus',
's': 'species',
't': 'subtype'}
def main():
'... | 0.660391 | 0.206214 |
import jpype
import common
class MyImpl(object):
def blah(self):
pass
class ClassProxy:
def __init__(self, proxy):
self.proxy = proxy
class ArrayProxy:
def __init__(self, proxy):
self.proxy = proxy
class StringProxy:
def __init__(self, proxy):
self.proxy = proxy
... | test/jpypetest/test_classhints.py | import jpype
import common
class MyImpl(object):
def blah(self):
pass
class ClassProxy:
def __init__(self, proxy):
self.proxy = proxy
class ArrayProxy:
def __init__(self, proxy):
self.proxy = proxy
class StringProxy:
def __init__(self, proxy):
self.proxy = proxy
... | 0.63624 | 0.340102 |
from lib import route, response, request, static_file, getSys, getMem, getHtop, abort, return_Json, getPath, login_required, getUser, Login, Logout, addAdmin, delAdmin, getAdminList
import os
# 首页403
@route('/', method=['GET','POST','PUT','DELETE','OPTIONS'])
def index():
return abort(403)
# 防止爬虫
@route('/robots.tx... | router.py | from lib import route, response, request, static_file, getSys, getMem, getHtop, abort, return_Json, getPath, login_required, getUser, Login, Logout, addAdmin, delAdmin, getAdminList
import os
# 首页403
@route('/', method=['GET','POST','PUT','DELETE','OPTIONS'])
def index():
return abort(403)
# 防止爬虫
@route('/robots.tx... | 0.189334 | 0.036494 |
import unittest
from touchdown.core import errors
from touchdown.core.workspace import Workspace
from touchdown.tests.aws import StubberTestCase
from touchdown.tests.fixtures.aws import VpcFixture
from touchdown.tests.stubs.aws import NetworkAclStubber
class TestNetworkAclCreation(StubberTestCase):
def test_cre... | touchdown/tests/test_aws_vpc_network_acl.py |
import unittest
from touchdown.core import errors
from touchdown.core.workspace import Workspace
from touchdown.tests.aws import StubberTestCase
from touchdown.tests.fixtures.aws import VpcFixture
from touchdown.tests.stubs.aws import NetworkAclStubber
class TestNetworkAclCreation(StubberTestCase):
def test_cre... | 0.530236 | 0.331012 |
from oneflow.compatible.single_client.experimental.load_mnist import load_mnist
from oneflow.compatible.single_client.ops.data_ops import (
BlobConf,
ImageCodec,
ImagePreprocessor,
ImageResizePreprocessor,
NormByChannelPreprocessor,
RawCodec,
decode_ofrecord,
decode_random,
)
from oneflo... | python/oneflow/compatible/single_client/data.py | from oneflow.compatible.single_client.experimental.load_mnist import load_mnist
from oneflow.compatible.single_client.ops.data_ops import (
BlobConf,
ImageCodec,
ImagePreprocessor,
ImageResizePreprocessor,
NormByChannelPreprocessor,
RawCodec,
decode_ofrecord,
decode_random,
)
from oneflo... | 0.387343 | 0.169028 |
from django.utils import timezone
from rest_framework import serializers
from core.models import User
from cases.models import (
Case,
CaseType,
CaseWorkflow,
)
from cases.models import (
Product,
ExportSource,
Sector,
)
from organisations.models import Organisation
from security.constants ... | trade_remedies_api/api_test/serializers.py | from django.utils import timezone
from rest_framework import serializers
from core.models import User
from cases.models import (
Case,
CaseType,
CaseWorkflow,
)
from cases.models import (
Product,
ExportSource,
Sector,
)
from organisations.models import Organisation
from security.constants ... | 0.553988 | 0.262266 |
from lazy_property import LazyProperty
from datetime import datetime
import re as regex
import json
import requests
from urllib.parse import urlparse, parse_qs
from bs4 import BeautifulSoup, Tag
from markdownify import markdownify
class Notice:
'''
Notice of KNU CSE official notice post
example: https://compu... | src/comp_crawling/notice.py | from lazy_property import LazyProperty
from datetime import datetime
import re as regex
import json
import requests
from urllib.parse import urlparse, parse_qs
from bs4 import BeautifulSoup, Tag
from markdownify import markdownify
class Notice:
'''
Notice of KNU CSE official notice post
example: https://compu... | 0.500977 | 0.123709 |
from itertools import product
from typing import List, Optional, Dict, Tuple
from matplotlib.axes import Axes
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.text.text_utils import map_text, wrap_text
from pandas import Series, isnull, DataFrame, pivot_table, notnull
from probability.distribut... | survey/questions/ranked_choice_question.py | from itertools import product
from typing import List, Optional, Dict, Tuple
from matplotlib.axes import Axes
from mpl_format.axes.axes_formatter import AxesFormatter
from mpl_format.text.text_utils import map_text, wrap_text
from pandas import Series, isnull, DataFrame, pivot_table, notnull
from probability.distribut... | 0.907929 | 0.429071 |
import numpy as np
from dissimilarity import compute_dissimilarity, dissimilarity
from dipy.tracking.distances import bundles_distances_mam
from sklearn.neighbors import KDTree
from nibabel import trackvis
from dipy.tracking.utils import length
from dipy.viz import fvtk
import os
import vtk.util.colors as colors
try:
... | segmentation_as_NN_and_lap.py | import numpy as np
from dissimilarity import compute_dissimilarity, dissimilarity
from dipy.tracking.distances import bundles_distances_mam
from sklearn.neighbors import KDTree
from nibabel import trackvis
from dipy.tracking.utils import length
from dipy.viz import fvtk
import os
import vtk.util.colors as colors
try:
... | 0.52074 | 0.361897 |
import unittest
import jax.numpy as np
from jax import random
from jax.experimental import stax
import flows
def is_bijective(
test, init_fun, inputs=random.uniform(random.PRNGKey(0), (20, 4), minval=-10.0, maxval=10.0), tol=1e-3
):
input_dim = inputs.shape[1]
params, direct_fun, inverse_fun = init_fun(... | tests/test_bijections.py | import unittest
import jax.numpy as np
from jax import random
from jax.experimental import stax
import flows
def is_bijective(
test, init_fun, inputs=random.uniform(random.PRNGKey(0), (20, 4), minval=-10.0, maxval=10.0), tol=1e-3
):
input_dim = inputs.shape[1]
params, direct_fun, inverse_fun = init_fun(... | 0.674694 | 0.721375 |
import requests
import json
import os
import time
import sys
from util import *
def get_accesstoken(tenantid, client_id, client_secret):
'''GET access token for Authorization'''
endpoint = "https://login.microsoftonline.com/{}/oauth2/token".format(tenantid)
resource ="https://management.azure.com/"
gr... | Content/Backup/Azure Backup Service/WorkloadManager/src/azurebackupservice/azure_backup.py | import requests
import json
import os
import time
import sys
from util import *
def get_accesstoken(tenantid, client_id, client_secret):
'''GET access token for Authorization'''
endpoint = "https://login.microsoftonline.com/{}/oauth2/token".format(tenantid)
resource ="https://management.azure.com/"
gr... | 0.147095 | 0.054626 |
from __future__ import division, absolute_import, print_function
import json
import os.path
import unittest
from test._common import RSRC
from beetsplug.acousticbrainz import AcousticPlugin, ABSCHEME
class MapDataToSchemeTest(unittest.TestCase):
def test_basic(self):
ab = AcousticPlugin()
data ... | test/test_acousticbrainz.py | from __future__ import division, absolute_import, print_function
import json
import os.path
import unittest
from test._common import RSRC
from beetsplug.acousticbrainz import AcousticPlugin, ABSCHEME
class MapDataToSchemeTest(unittest.TestCase):
def test_basic(self):
ab = AcousticPlugin()
data ... | 0.662687 | 0.291687 |
import requests
import datetime
from requests import ConnectionError
from ..exceptions import (
APIError,
InvalidResponse,
)
from ..utils import check_status_code
from ..compat import json
# monkeypatching requests
# https://github.com/kennethreitz/requests/issues/1595
requests.models.json = json
class Base... | betfairlightweight/endpoints/baseendpoint.py | import requests
import datetime
from requests import ConnectionError
from ..exceptions import (
APIError,
InvalidResponse,
)
from ..utils import check_status_code
from ..compat import json
# monkeypatching requests
# https://github.com/kennethreitz/requests/issues/1595
requests.models.json = json
class Base... | 0.488771 | 0.088347 |
import argparse
import datetime
import json
import os
import platform
import subprocess
import sys
import types
import semver
def log(message, command=False):
prefix = "$" if command else "#"
print(f"{prefix} {message}", file=sys.stderr)
def run_command(description, args, capture_output=True, shell=True):
... | tools/release_tool.py | import argparse
import datetime
import json
import os
import platform
import subprocess
import sys
import types
import semver
def log(message, command=False):
prefix = "$" if command else "#"
print(f"{prefix} {message}", file=sys.stderr)
def run_command(description, args, capture_output=True, shell=True):
... | 0.352202 | 0.144783 |
def romanToDecimal(roman_number):
roman_list = {'I':1, 'V':5, 'X':10, 'L':50, 'C':100, 'D':500, 'M':1000}
result = 0
for index,current_number in enumerate(roman_number):
if (index+1) == len(roman_number) or roman_list[current_number] >= roman_list[roman_number[index+1]]:
result+=roman_li... | ancestral_names/sortRoman.py | def romanToDecimal(roman_number):
roman_list = {'I':1, 'V':5, 'X':10, 'L':50, 'C':100, 'D':500, 'M':1000}
result = 0
for index,current_number in enumerate(roman_number):
if (index+1) == len(roman_number) or roman_list[current_number] >= roman_list[roman_number[index+1]]:
result+=roman_li... | 0.138899 | 0.213213 |
__author__ = 'rayleigh'
from wiking.models import Article, ArticleVersion
import os
class ArticleService:
ROOT_PATH = '/wiki'
PATH_NOT_FIND = 1
NO_ERRORS = 0
def __init__(self):
pass
@staticmethod
def get_absolute_url(article, articles=[]):
return os.path.join(ArticleService.... | wiking/services/articles.py | __author__ = 'rayleigh'
from wiking.models import Article, ArticleVersion
import os
class ArticleService:
ROOT_PATH = '/wiki'
PATH_NOT_FIND = 1
NO_ERRORS = 0
def __init__(self):
pass
@staticmethod
def get_absolute_url(article, articles=[]):
return os.path.join(ArticleService.... | 0.389314 | 0.101634 |
import copy
from typing import Dict, List
from polyaxon import types
from polyaxon.exceptions import PolyaxonfileError, PolyaxonSchemaError
from polyaxon.polyaxonfile.specs import BaseSpecification, kinds
from polyaxon.polyaxonfile.specs.libs.parser import Parser
from polyaxon.polyflow import (
ParamSpec,
V1C... | core/polyaxon/polyaxonfile/specs/compiled_operation.py | import copy
from typing import Dict, List
from polyaxon import types
from polyaxon.exceptions import PolyaxonfileError, PolyaxonSchemaError
from polyaxon.polyaxonfile.specs import BaseSpecification, kinds
from polyaxon.polyaxonfile.specs.libs.parser import Parser
from polyaxon.polyflow import (
ParamSpec,
V1C... | 0.78436 | 0.20199 |
import math
import numpy
import statsmodels.api as sm
lowess= sm.nonparametric.lowess
import esutil
from galpy.util import bovy_coords, bovy_plot
from scipy.interpolate import interp1d,UnivariateSpline
import apogee.tools.read as apread
import isodist
import numpy as np
import matplotlib.pyplot as plt
import os
import ... | py/define_rgbsample.py | import math
import numpy
import statsmodels.api as sm
lowess= sm.nonparametric.lowess
import esutil
from galpy.util import bovy_coords, bovy_plot
from scipy.interpolate import interp1d,UnivariateSpline
import apogee.tools.read as apread
import isodist
import numpy as np
import matplotlib.pyplot as plt
import os
import ... | 0.280814 | 0.216094 |
from errno import ESRCH
import yaml
import re
import subprocess
import os
from datetime import datetime
from time import time, sleep
from subprocess import Popen
from subprocess import PIPE
from subprocess import CalledProcessError
from subprocess import TimeoutExpired
from argparse import ArgumentParser
from qcloud... | tests/perfs/perfs.py | from errno import ESRCH
import yaml
import re
import subprocess
import os
from datetime import datetime
from time import time, sleep
from subprocess import Popen
from subprocess import PIPE
from subprocess import CalledProcessError
from subprocess import TimeoutExpired
from argparse import ArgumentParser
from qcloud... | 0.238728 | 0.061059 |
import os
import click
from ggdtrack.duke_dataset import Duke, DukeMini
from ggdtrack.visdrone_dataset import VisDrone
from ggdtrack.mot16_dataset import Mot16
from ggdtrack.eval import prep_eval_graphs, prep_eval_tracks, eval_prepped_tracks, eval_prepped_tracks_joined
from ggdtrack.graph_diff import prep_minimal_gra... | ablation.py | import os
import click
from ggdtrack.duke_dataset import Duke, DukeMini
from ggdtrack.visdrone_dataset import VisDrone
from ggdtrack.mot16_dataset import Mot16
from ggdtrack.eval import prep_eval_graphs, prep_eval_tracks, eval_prepped_tracks, eval_prepped_tracks_joined
from ggdtrack.graph_diff import prep_minimal_gra... | 0.317744 | 0.136839 |
import logging
from typing import Union
from easydict import EasyDict as edict
from xviz.message import XVIZMessage
from xviz.v2.session_pb2 import Metadata, StreamMetadata
from xviz.v2.style_pb2 import StyleStreamValue
ANNOTATION_TYPES = StreamMetadata.AnnotationType
CATEGORY = StreamMetadata.Category
COORDINATE_TYP... | python/xviz/builder/base_builder.py | import logging
from typing import Union
from easydict import EasyDict as edict
from xviz.message import XVIZMessage
from xviz.v2.session_pb2 import Metadata, StreamMetadata
from xviz.v2.style_pb2 import StyleStreamValue
ANNOTATION_TYPES = StreamMetadata.AnnotationType
CATEGORY = StreamMetadata.Category
COORDINATE_TYP... | 0.613352 | 0.258642 |
Langs = {'en': u'Английский',
'ja': u'Японский',
'ru': u'Русский',
'auto': u'Авто',
'sq': u'Албанский',
# 'ar': u'Арабский',
'af': u'Африкаанс',
'be': u'Белорусский',
'bg': u'Болгарский',
'cy': u'Валлийский',
'hu': u'Венгерский',
'vi': u'Вьетнамский',
'gl': u'Галисийский',
'nl': u... | extensions/trans.py |
Langs = {'en': u'Английский',
'ja': u'Японский',
'ru': u'Русский',
'auto': u'Авто',
'sq': u'Албанский',
# 'ar': u'Арабский',
'af': u'Африкаанс',
'be': u'Белорусский',
'bg': u'Болгарский',
'cy': u'Валлийский',
'hu': u'Венгерский',
'vi': u'Вьетнамский',
'gl': u'Галисийский',
'nl': u... | 0.121009 | 0.133726 |
from mitmproxy import contentviews
from mitmproxy.test import tflow
from mitmproxy.test import tutils
from mitmproxy.test import taddons
from mitmproxy.net.http import Headers
from ..mitmproxy import tservers
example_dir = tutils.test_data.push("../examples")
class TestScripts(tservers.MasterTest):
def test_add... | test/examples/test_examples.py | from mitmproxy import contentviews
from mitmproxy.test import tflow
from mitmproxy.test import tutils
from mitmproxy.test import taddons
from mitmproxy.net.http import Headers
from ..mitmproxy import tservers
example_dir = tutils.test_data.push("../examples")
class TestScripts(tservers.MasterTest):
def test_add... | 0.451085 | 0.339937 |
import logging
import tornado.web
from sqlalchemy.orm import scoped_session
import bbtornado.models
from bbtornado.handlers import ThreadRequestContext
log = logging.getLogger('bbtornado.web')
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
class Application(tornado.web.Application)... | bbtornado/web.py | import logging
import tornado.web
from sqlalchemy.orm import scoped_session
import bbtornado.models
from bbtornado.handlers import ThreadRequestContext
log = logging.getLogger('bbtornado.web')
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
class Application(tornado.web.Application)... | 0.539226 | 0.054299 |
from odoo import fields, models
from odoo.tools import float_compare
class PurchaseOrderLine(models.Model):
_inherit = 'purchase.order.line'
qty_received = fields.Float(compute='_compute_qty_received', string="Received Qty", store=True)
def _compute_qty_received(self):
super(PurchaseOrderLine, ... | apps/odoo/lib/odoo-10.0.post20170615-py2.7.egg/odoo/addons/purchase_mrp/models/purchase_mrp.py |
from odoo import fields, models
from odoo.tools import float_compare
class PurchaseOrderLine(models.Model):
_inherit = 'purchase.order.line'
qty_received = fields.Float(compute='_compute_qty_received', string="Received Qty", store=True)
def _compute_qty_received(self):
super(PurchaseOrderLine, ... | 0.364891 | 0.243744 |
import itertools as it
def run_opcode(code_list):
"""Run the opcode as determined by the values in code_list
Before you enter the next loop, check to see if the opcode
(the first number in the sequence of 4) is 99. If it is, then
you can stop and return the code as it stands.
Parameters
----... | day02/day02_puz2.py | import itertools as it
def run_opcode(code_list):
"""Run the opcode as determined by the values in code_list
Before you enter the next loop, check to see if the opcode
(the first number in the sequence of 4) is 99. If it is, then
you can stop and return the code as it stands.
Parameters
----... | 0.665737 | 0.609001 |
import os
import random
import string
from typing import Optional
from idact.core.auth import KeyType
from idact.detail.auth.get_public_key_location import get_public_key_location
from idact.detail.log.get_logger import get_logger
KEY_NAME_PREFIX = {KeyType.RSA: 'id_rsa_'}
KEY_NAME_SUFFIX_LENGTH = 2
KEY_NAME_SUFFIX_... | idact/detail/auth/get_free_private_key_location.py | import os
import random
import string
from typing import Optional
from idact.core.auth import KeyType
from idact.detail.auth.get_public_key_location import get_public_key_location
from idact.detail.log.get_logger import get_logger
KEY_NAME_PREFIX = {KeyType.RSA: 'id_rsa_'}
KEY_NAME_SUFFIX_LENGTH = 2
KEY_NAME_SUFFIX_... | 0.842734 | 0.109801 |
from __future__ import annotations
import requests
from pydantic import BaseModel # , validator
class OlId(BaseModel):
key: str
class OlType(BaseModel):
type: str
value: str
class Identifier(BaseModel):
goodreads: list[str]
librarything: list[str]
class Work(BaseModel):
authors: list[O... | src/Books/work.py | from __future__ import annotations
import requests
from pydantic import BaseModel # , validator
class OlId(BaseModel):
key: str
class OlType(BaseModel):
type: str
value: str
class Identifier(BaseModel):
goodreads: list[str]
librarything: list[str]
class Work(BaseModel):
authors: list[O... | 0.53437 | 0.19789 |
import logging
import sys
class Error(Exception):
"""Base class for Telemetry exceptions."""
def __init__(self, msg=''):
super(Error, self).__init__(msg)
self._debugging_messages = []
def AddDebuggingMessage(self, msg):
"""Adds a message to the description of the exception.
Many Telemetry exc... | third_party/catapult/telemetry/telemetry/core/exceptions.py | import logging
import sys
class Error(Exception):
"""Base class for Telemetry exceptions."""
def __init__(self, msg=''):
super(Error, self).__init__(msg)
self._debugging_messages = []
def AddDebuggingMessage(self, msg):
"""Adds a message to the description of the exception.
Many Telemetry exc... | 0.538741 | 0.112747 |
from charms.reactive import is_state, remove_state, set_state, when, when_any, when_none, when_not
from charmhelpers.core import hookenv
from charms.layer.apache_bigtop_base import Bigtop, get_hadoop_version
@when('hadoop-plugin.joined')
@when_not('namenode.joined')
def blocked(principal):
hookenv.status_set('bl... | bigtop-packages/src/charm/hadoop/layer-hadoop-plugin/reactive/apache_bigtop_plugin.py |
from charms.reactive import is_state, remove_state, set_state, when, when_any, when_none, when_not
from charmhelpers.core import hookenv
from charms.layer.apache_bigtop_base import Bigtop, get_hadoop_version
@when('hadoop-plugin.joined')
@when_not('namenode.joined')
def blocked(principal):
hookenv.status_set('bl... | 0.51562 | 0.113236 |
import gym
import numpy as np
import cv2
from gym import spaces
class MLToGymEnv(gym.Env):
def __init__(self, env, train_mode, reward_range=(-np.inf, np.inf)):
"""Wraps UnityEnvironment of ML-Agents to be used by baselines algorithms
"""
gym.Env.__init__(self)
self.unityEnv = env
... | run/baselines_wrapper.py | import gym
import numpy as np
import cv2
from gym import spaces
class MLToGymEnv(gym.Env):
def __init__(self, env, train_mode, reward_range=(-np.inf, np.inf)):
"""Wraps UnityEnvironment of ML-Agents to be used by baselines algorithms
"""
gym.Env.__init__(self)
self.unityEnv = env
... | 0.380414 | 0.445952 |
from pathlib import Path
import argparse
import pickle
import pandas as pd
import numpy as np
def softmax(x):
"""
>>> res = softmax(np.array([0, 200, 10]))
>>> np.sum(res)
1.0
>>> np.all(np.abs(res - np.array([0, 1, 0])) < 0.0001)
True
>>> res = softmax(np.array([[0, 200, 10], [0, 10, 200... | fuse_results_epic.py | from pathlib import Path
import argparse
import pickle
import pandas as pd
import numpy as np
def softmax(x):
"""
>>> res = softmax(np.array([0, 200, 10]))
>>> np.sum(res)
1.0
>>> np.all(np.abs(res - np.array([0, 1, 0])) < 0.0001)
True
>>> res = softmax(np.array([[0, 200, 10], [0, 10, 200... | 0.777553 | 0.360517 |
import os, sys
from pathlib import Path
import configparser
from .Logger import LOGGER
import uuid
import base64
#just for test
current_dir = os.getcwd()
sys.path.append(current_dir)
#just for test
try:
from Fcp.Node import Node
except ModuleNotFoundError:
raise ModuleNotFoundError('Fcp module is required')
... | Fsite/Base/Core.py | import os, sys
from pathlib import Path
import configparser
from .Logger import LOGGER
import uuid
import base64
#just for test
current_dir = os.getcwd()
sys.path.append(current_dir)
#just for test
try:
from Fcp.Node import Node
except ModuleNotFoundError:
raise ModuleNotFoundError('Fcp module is required')
... | 0.197135 | 0.049154 |
from Tea.core import TeaCore
from alibabacloud_tea_openapi.client import Client as OpenApiClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util.client import Client as UtilClient
from alibabacloud_dingtalk.yida_1_0 import models as dingtalkyida__1__0_models
from alibabacloud_... | dingtalk/python/alibabacloud_dingtalk/yida_1_0/client.py | from Tea.core import TeaCore
from alibabacloud_tea_openapi.client import Client as OpenApiClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util.client import Client as UtilClient
from alibabacloud_dingtalk.yida_1_0 import models as dingtalkyida__1__0_models
from alibabacloud_... | 0.503418 | 0.043773 |
from __future__ import annotations
import inspect
import os
import re
import shlex
from enum import Enum
from typing import Iterable, Pattern, Sequence
from pants.option.errors import ParseError
from pants.util.eval import parse_expression
from pants.util.memo import memoized_method
class UnsetBool:
"""A type ... | src/python/pants/option/custom_types.py |
from __future__ import annotations
import inspect
import os
import re
import shlex
from enum import Enum
from typing import Iterable, Pattern, Sequence
from pants.option.errors import ParseError
from pants.util.eval import parse_expression
from pants.util.memo import memoized_method
class UnsetBool:
"""A type ... | 0.843573 | 0.477554 |
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
from math import e
def plotData(
fileTypePlots,
transformedData,
verbose):
"""Plot query data using matplotlib"""
# making functions more explicit
transformedData = transformedDa... | valkyrie_pkg/plot_data.py | import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
from math import e
def plotData(
fileTypePlots,
transformedData,
verbose):
"""Plot query data using matplotlib"""
# making functions more explicit
transformedData = transformedDa... | 0.737442 | 0.61878 |
"""find_similar_issues tests."""
import mock
import unittest
import webapp2
import webtest
from datastore import data_types
from handlers.testcase_detail import find_similar_issues
from issue_management.monorail import issue
from tests.test_libs import helpers as test_helpers
from tests.test_libs import test_utils
@... | src/python/tests/appengine/handlers/testcase_detail/find_similar_issues_test.py | """find_similar_issues tests."""
import mock
import unittest
import webapp2
import webtest
from datastore import data_types
from handlers.testcase_detail import find_similar_issues
from issue_management.monorail import issue
from tests.test_libs import helpers as test_helpers
from tests.test_libs import test_utils
@... | 0.645902 | 0.307345 |
import hashlib
import urllib
import typing
import re
from mitmproxy import ctx
from mitmproxy import flow
from mitmproxy import exceptions
from mitmproxy import io
from mitmproxy import command
import mitmproxy.types
class ServerPlayback:
def __init__(self):
self.flowmap = {}
self.stop = False
... | mitmproxy/addons/serverplayback.py | import hashlib
import urllib
import typing
import re
from mitmproxy import ctx
from mitmproxy import flow
from mitmproxy import exceptions
from mitmproxy import io
from mitmproxy import command
import mitmproxy.types
class ServerPlayback:
def __init__(self):
self.flowmap = {}
self.stop = False
... | 0.476092 | 0.160135 |
from __future__ import (division, absolute_import, print_function,
unicode_literals)
import os
import threading
import subprocess
import tempfile
import shlex
from string import Template
from beets import ui, util, plugins, config
from beets.plugins import BeetsPlugin
from beets.util.confit im... | beetsplug/convert.py | from __future__ import (division, absolute_import, print_function,
unicode_literals)
import os
import threading
import subprocess
import tempfile
import shlex
from string import Template
from beets import ui, util, plugins, config
from beets.plugins import BeetsPlugin
from beets.util.confit im... | 0.654453 | 0.108189 |
import sys
import unittest
from conduit import Node
import numpy as np
class Test_Conduit_Node(unittest.TestCase):
def test_simple(self):
a_val = np.uint32(10)
b_val = np.uint32(20)
c_val = np.float64(30.0)
n = Node()
n['a'] = a_val
n['b'] = b_val
n['c'] =... | src/tests/conduit/python/t_python_conduit_node.py | import sys
import unittest
from conduit import Node
import numpy as np
class Test_Conduit_Node(unittest.TestCase):
def test_simple(self):
a_val = np.uint32(10)
b_val = np.uint32(20)
c_val = np.float64(30.0)
n = Node()
n['a'] = a_val
n['b'] = b_val
n['c'] =... | 0.189484 | 0.517022 |
from __future__ import print_function
import re
from functools import partial
from mapproxy.compat import iteritems, itervalues, iterkeys
from mapproxy.request.wmts import (
wmts_request, make_wmts_rest_request_parser,
URLTemplateConverter,
FeatureInfoURLTemplateConverter,
)
from mapproxy.layer import In... | mapproxy/service/wmts.py | from __future__ import print_function
import re
from functools import partial
from mapproxy.compat import iteritems, itervalues, iterkeys
from mapproxy.request.wmts import (
wmts_request, make_wmts_rest_request_parser,
URLTemplateConverter,
FeatureInfoURLTemplateConverter,
)
from mapproxy.layer import In... | 0.318379 | 0.161982 |
import torch
def bbox_overlaps(bboxes1, bboxes2, mode='iou', is_aligned=False):
"""Calculate overlap between two set of bboxes.
If ``is_aligned`` is ``False``, then calculate the ious between each bbox
of bboxes1 and bboxes2, otherwise the ious between each aligned pair of
bboxes1 and bboxes2.
A... | mmdet/core/bbox/geometry.py | import torch
def bbox_overlaps(bboxes1, bboxes2, mode='iou', is_aligned=False):
"""Calculate overlap between two set of bboxes.
If ``is_aligned`` is ``False``, then calculate the ious between each bbox
of bboxes1 and bboxes2, otherwise the ious between each aligned pair of
bboxes1 and bboxes2.
A... | 0.887583 | 0.747432 |
import random
import json
import logging
import copy
from camera_trap_classifier.data.utils import (
randomly_split_dataset, map_label_list_to_numeric_dict,
export_dict_to_json, _balanced_sampling)
from camera_trap_classifier.data.importer import DatasetImporter
logger = logging.getLogger(__name__)
class ... | camera_trap_classifier/data/inventory.py | import random
import json
import logging
import copy
from camera_trap_classifier.data.utils import (
randomly_split_dataset, map_label_list_to_numeric_dict,
export_dict_to_json, _balanced_sampling)
from camera_trap_classifier.data.importer import DatasetImporter
logger = logging.getLogger(__name__)
class ... | 0.663451 | 0.295807 |
from __future__ import absolute_import, unicode_literals
from optimove.constants import AUTHORIZED_DELIMITERS, UNAUTHORIZED_DELIMITERS
class Customers(object):
client = None
def __init__(self, client):
self.client = client
def get_customers_by_action(self, recipient_group_id, action_id, date, a... | optimove/customers.py | from __future__ import absolute_import, unicode_literals
from optimove.constants import AUTHORIZED_DELIMITERS, UNAUTHORIZED_DELIMITERS
class Customers(object):
client = None
def __init__(self, client):
self.client = client
def get_customers_by_action(self, recipient_group_id, action_id, date, a... | 0.757974 | 0.154695 |
import re
class Checker:
def __init__(self):
pass
@staticmethod
def isLevelUp(page_source):
return 'Level Up' in page_source
@staticmethod
def isBotDetected(page_source):
return 'captcha' in page_source
class Url:
def __init__(self):
pass
root = ... | util.py |
import re
class Checker:
def __init__(self):
pass
@staticmethod
def isLevelUp(page_source):
return 'Level Up' in page_source
@staticmethod
def isBotDetected(page_source):
return 'captcha' in page_source
class Url:
def __init__(self):
pass
root = ... | 0.382487 | 0.105119 |
import argparse
import logging
from multiprocessing import Event, Process
from pathlib import Path
import time
import derp.util
import derp.brain
import derp.camera
import derp.imu
import derp.joystick
import derp.servo
import derp.writer
def all_running(processes):
""" Returns whether all processes are currently... | bin/drive.py | import argparse
import logging
from multiprocessing import Event, Process
from pathlib import Path
import time
import derp.util
import derp.brain
import derp.camera
import derp.imu
import derp.joystick
import derp.servo
import derp.writer
def all_running(processes):
""" Returns whether all processes are currently... | 0.338186 | 0.096535 |
from typing import Dict, Optional, Union, cast
import numpy as np
import pandas as pd
from scipy import sparse
from autosklearn.constants import (
BINARY_CLASSIFICATION,
MULTICLASS_CLASSIFICATION,
MULTILABEL_CLASSIFICATION,
MULTIOUTPUT_REGRESSION,
REGRESSION,
)
from autosklearn.data.abstract_dat... | autosklearn/data/xy_data_manager.py | from typing import Dict, Optional, Union, cast
import numpy as np
import pandas as pd
from scipy import sparse
from autosklearn.constants import (
BINARY_CLASSIFICATION,
MULTICLASS_CLASSIFICATION,
MULTILABEL_CLASSIFICATION,
MULTIOUTPUT_REGRESSION,
REGRESSION,
)
from autosklearn.data.abstract_dat... | 0.695958 | 0.239816 |
import os
import shutil
import argparse
import tarfile
from encoding.utils import download, mkdir
_TARGET_DIR = os.path.expanduser('../dataset/')
def parse_args():
parser = argparse.ArgumentParser(
description='Initialize PASCAL VOC dataset.',
epilog='Example: python prepare_pascal.py',
f... | scripts/prepare_pascal.py | import os
import shutil
import argparse
import tarfile
from encoding.utils import download, mkdir
_TARGET_DIR = os.path.expanduser('../dataset/')
def parse_args():
parser = argparse.ArgumentParser(
description='Initialize PASCAL VOC dataset.',
epilog='Example: python prepare_pascal.py',
f... | 0.278551 | 0.108001 |
from selenium import webdriver
from time import sleep
class ChromeAuto:
def __init__(self):
self.driver_path = 'chromedriver'
self.options = webdriver.ChromeOptions()
self.options.add_argument('user-data-dir=Perfil')
self.chrome = webdriver.Chrome(
self.driver_path,
... | Curso_Python/Secao5-modulos-uteis/134_selenium_automatizando_tarefas_navegador/main.py |
from selenium import webdriver
from time import sleep
class ChromeAuto:
def __init__(self):
self.driver_path = 'chromedriver'
self.options = webdriver.ChromeOptions()
self.options.add_argument('user-data-dir=Perfil')
self.chrome = webdriver.Chrome(
self.driver_path,
... | 0.332202 | 0.054601 |
import logging
from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import MAIN_DISPATCHER, DEAD_DISPATCHER
from ryu.controller.handler import CONFIG_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.ofproto import ofproto_v1_0
from ryu.ofproto import ofpro... | ryu/app/aa.py |
import logging
from ryu.base import app_manager
from ryu.controller import ofp_event
from ryu.controller.handler import MAIN_DISPATCHER, DEAD_DISPATCHER
from ryu.controller.handler import CONFIG_DISPATCHER
from ryu.controller.handler import set_ev_cls
from ryu.ofproto import ofproto_v1_0
from ryu.ofproto import ofpro... | 0.182316 | 0.090053 |
import collections
from io import StringIO
import os
import time
import requests
from ns_stitchclient.transit.writer import Writer
DEFAULT_MAX_BATCH_SIZE_BYTES = 4194304
DEFAULT_BATCH_DELAY_SECONDS = 60.0
MAX_MESSAGES_PER_BATCH = 20000
DEFAULT_STITCH_URL = 'https://api.stitchdata.com/v2/import/push'
class MessageToo... | ns_stitchclient/client.py | import collections
from io import StringIO
import os
import time
import requests
from ns_stitchclient.transit.writer import Writer
DEFAULT_MAX_BATCH_SIZE_BYTES = 4194304
DEFAULT_BATCH_DELAY_SECONDS = 60.0
MAX_MESSAGES_PER_BATCH = 20000
DEFAULT_STITCH_URL = 'https://api.stitchdata.com/v2/import/push'
class MessageToo... | 0.536556 | 0.242262 |
import json
import time
from typing import Any
import nonebot
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from nonebot.adapters import Bot
from nonebot.log import logger
from .config import Config
_cooldown_events = {}
driver = nonebot.get_driver()
config = Config(**driver.config.dict())
BACKUP_FI... | nonebot_plugin_cooldown/cooldown.py | import json
import time
from typing import Any
import nonebot
from apscheduler.schedulers.asyncio import AsyncIOScheduler
from nonebot.adapters import Bot
from nonebot.log import logger
from .config import Config
_cooldown_events = {}
driver = nonebot.get_driver()
config = Config(**driver.config.dict())
BACKUP_FI... | 0.530723 | 0.138928 |
from datetime import timedelta
from django.utils.translation import ugettext_lazy as _
from mayan.apps.common.queues import queue_tools
from mayan.apps.task_manager.classes import CeleryQueue
from mayan.apps.task_manager.workers import worker_fast, worker_medium
from celery.schedules import crontab
from .literals i... | mayan/apps/documents/queues.py | from datetime import timedelta
from django.utils.translation import ugettext_lazy as _
from mayan.apps.common.queues import queue_tools
from mayan.apps.task_manager.classes import CeleryQueue
from mayan.apps.task_manager.workers import worker_fast, worker_medium
from celery.schedules import crontab
from .literals i... | 0.430626 | 0.089335 |
from django.contrib import admin
from django.urls import path, include
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from mainPage.views import *
from django.contrib.auth import views as auth_views
from users import views as user_views
urlpatterns = [
path('admin/', admin.site.urls),
path... | SACWebApp/SACWebApp/urls.py | from django.contrib import admin
from django.urls import path, include
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from mainPage.views import *
from django.contrib.auth import views as auth_views
from users import views as user_views
urlpatterns = [
path('admin/', admin.site.urls),
path... | 0.251372 | 0.052328 |
""" Test for projectq.backends._awsbraket._awsbraket_boto3_client.py """
import pytest
from unittest.mock import patch
from ._awsbraket_boto3_client_test_fixtures import * # noqa: F401,F403
# ==============================================================================
_has_boto3 = True
try:
import botocore
... | projectq/backends/_awsbraket/_awsbraket_boto3_client_test.py | """ Test for projectq.backends._awsbraket._awsbraket_boto3_client.py """
import pytest
from unittest.mock import patch
from ._awsbraket_boto3_client_test_fixtures import * # noqa: F401,F403
# ==============================================================================
_has_boto3 = True
try:
import botocore
... | 0.509276 | 0.335596 |
import re
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.views.generic import View
from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from .models import Posts, Like... | core/views.py | import re
from django.shortcuts import render, redirect
from django.http import HttpResponse
from django.views.generic import View
from django.contrib.auth import get_user_model
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from .models import Posts, Like... | 0.449876 | 0.082328 |
from logging import fatal
import os
from pathlib import Path
import shutil
import zipfile
import re
from mirdata import download_utils, core
import pytest
@pytest.fixture
def mock_download_from_remote(mocker):
return mocker.patch.object(download_utils, "download_from_remote")
@pytest.fixture
def mock_download... | tests/test_download_utils.py | from logging import fatal
import os
from pathlib import Path
import shutil
import zipfile
import re
from mirdata import download_utils, core
import pytest
@pytest.fixture
def mock_download_from_remote(mocker):
return mocker.patch.object(download_utils, "download_from_remote")
@pytest.fixture
def mock_download... | 0.424173 | 0.316396 |
import argparse
import logging
import operator
import os
import re
import six
import subprocess
import sys
import yaml
this_dir = os.path.realpath(os.path.dirname(__file__))
sys.path.append(os.path.realpath(os.path.join(os.pardir, os.pardir)))
from geodata.address_formatting.formatter import AddressFormatter
from geo... | scripts/geodata/neighborhoods/reverse_geocode.py | import argparse
import logging
import operator
import os
import re
import six
import subprocess
import sys
import yaml
this_dir = os.path.realpath(os.path.dirname(__file__))
sys.path.append(os.path.realpath(os.path.join(os.pardir, os.pardir)))
from geodata.address_formatting.formatter import AddressFormatter
from geo... | 0.396769 | 0.147617 |
import os
from scielo_v3_manager.v3_gen import generates
def add_pids_to_xml(xml_sps, document, xml_file_path, pid_v2, v3_manager):
"""
Garante que o PID v3 esteja no XML e que ele esteja registrado no SPF,
seja no Article ou no v3_manager
"""
# add scielo_pid_v2, se aplicável
_add_scielo_pid... | dsm/extdeps/doc_ids_manager.py | import os
from scielo_v3_manager.v3_gen import generates
def add_pids_to_xml(xml_sps, document, xml_file_path, pid_v2, v3_manager):
"""
Garante que o PID v3 esteja no XML e que ele esteja registrado no SPF,
seja no Article ou no v3_manager
"""
# add scielo_pid_v2, se aplicável
_add_scielo_pid... | 0.518302 | 0.183887 |
import csv
import json
import os
import click
from os.path import isfile, isdir
from pathlib import Path
from policy_sentry.util.actions import get_service_from_action
from policy_sentry.analysis.analyze import analyze_by_access_level
from policy_sentry.shared.constants import DATABASE_FILE_PATH
from policy_sentry.shar... | analyze_public_instances_results.py | import csv
import json
import os
import click
from os.path import isfile, isdir
from pathlib import Path
from policy_sentry.util.actions import get_service_from_action
from policy_sentry.analysis.analyze import analyze_by_access_level
from policy_sentry.shared.constants import DATABASE_FILE_PATH
from policy_sentry.shar... | 0.194597 | 0.067547 |
import json
import requests
from Logs.log_configuration import configure_logger
from api_client.url_helpers.organization_group_url import get_organization_group_children_url, \
get_parent_organization_group_url, get_organization_group_details_url
from models.api_header_model import RequestHeader
log = configure_... | UEM-Samples/ProductProvisioning/product_app_deployment_automation/api_client/organization_group.py | import json
import requests
from Logs.log_configuration import configure_logger
from api_client.url_helpers.organization_group_url import get_organization_group_children_url, \
get_parent_organization_group_url, get_organization_group_details_url
from models.api_header_model import RequestHeader
log = configure_... | 0.363873 | 0.066478 |
import json
from pprint import pformat
from celery import states
from celery.result import AsyncResult
from flask import abort
import config
from gcpdac.application_ci import create_application, delete_application
from gcpdac.celery_tasks import deploy_application_task, destroy_application_task
logger = config.logge... | gcpdac/application.py | import json
from pprint import pformat
from celery import states
from celery.result import AsyncResult
from flask import abort
import config
from gcpdac.application_ci import create_application, delete_application
from gcpdac.celery_tasks import deploy_application_task, destroy_application_task
logger = config.logge... | 0.113211 | 0.143668 |
from decimal import Decimal
from django.conf import settings
from products.models import Products
class Favorite(object):
def __init__(self, request):
"""
Initialize the favorite
"""
self.session = request.session
favorite = self.session.get(settings.FAVORITE_SESSION_ID)
... | favorite/favorite.py | from decimal import Decimal
from django.conf import settings
from products.models import Products
class Favorite(object):
def __init__(self, request):
"""
Initialize the favorite
"""
self.session = request.session
favorite = self.session.get(settings.FAVORITE_SESSION_ID)
... | 0.557604 | 0.131312 |
from socket import socket, AF_INET, SOCK_STREAM
from threading import Thread
import time
from person import Person
# GLOBAL CONSTANTS (Sabitler)
HOST = "localhost"
PORT = 5500
ADDR = (HOST, PORT)
MAX_CONNECTIONS = 10
BUFSIZE = 512 # aktarılan data'nın byte sayısı
TIME = time.ctime(t... | server/server.py | from socket import socket, AF_INET, SOCK_STREAM
from threading import Thread
import time
from person import Person
# GLOBAL CONSTANTS (Sabitler)
HOST = "localhost"
PORT = 5500
ADDR = (HOST, PORT)
MAX_CONNECTIONS = 10
BUFSIZE = 512 # aktarılan data'nın byte sayısı
TIME = time.ctime(t... | 0.203668 | 0.088347 |
from cfnlint import CloudFormationLintRule
from cfnlint import RuleMatch
class AvailabilityZone(CloudFormationLintRule):
"""Check Availibility Zone parameter checks """
id = 'W2508'
shortdesc = 'Availability Zone Parameters are of correct type AWS::EC2::AvailabilityZone::Name'
description = 'Check if ... | src/cfnlint/rules/parameters/AvailabilityZone.py | from cfnlint import CloudFormationLintRule
from cfnlint import RuleMatch
class AvailabilityZone(CloudFormationLintRule):
"""Check Availibility Zone parameter checks """
id = 'W2508'
shortdesc = 'Availability Zone Parameters are of correct type AWS::EC2::AvailabilityZone::Name'
description = 'Check if ... | 0.734881 | 0.141193 |
import logging
import torch
import argparse
import os
from sklearn import metrics
from timeit import default_timer as timer
from utils import getModel, resumeFromPath
from data.ImagenetDataset import get_zipped_dataloaders, REDUCED_SET_PATH, FULL_SET_PATH
from data.utils import getLabelToClassMapping
from typing import... | benchmarkMSD.py | import logging
import torch
import argparse
import os
from sklearn import metrics
from timeit import default_timer as timer
from utils import getModel, resumeFromPath
from data.ImagenetDataset import get_zipped_dataloaders, REDUCED_SET_PATH, FULL_SET_PATH
from data.utils import getLabelToClassMapping
from typing import... | 0.695545 | 0.19758 |
CREATE_TABLES = """
DROP TABLE IF EXISTS staging_yellow_trips;
CREATE TABLE IF NOT EXISTS staging_yellow_trips (
VendorID INT,
tpep_pickup_datetime TIMESTAMP,
tpep_dropoff_datetime TIMESTAMP,
passenger_count INT,
trip_distance FLOAT,
RatecodeID INT,
store_and_fwd_flag TEXT,
PULocationID INT,
DOLocationID I... | scripts/sql_queries.py | CREATE_TABLES = """
DROP TABLE IF EXISTS staging_yellow_trips;
CREATE TABLE IF NOT EXISTS staging_yellow_trips (
VendorID INT,
tpep_pickup_datetime TIMESTAMP,
tpep_dropoff_datetime TIMESTAMP,
passenger_count INT,
trip_distance FLOAT,
RatecodeID INT,
store_and_fwd_flag TEXT,
PULocationID INT,
DOLocationID I... | 0.1139 | 0.0566 |
import time
from prometheus_client import CONTENT_TYPE_LATEST, Summary, Counter, generate_latest
from werkzeug.routing import Map, Rule
from werkzeug.serving import run_simple
from werkzeug.wrappers import Request, Response
from werkzeug.exceptions import InternalServerError
from app.collector import collect_sensors
c... | airfilter-exporter/app/http.py | import time
from prometheus_client import CONTENT_TYPE_LATEST, Summary, Counter, generate_latest
from werkzeug.routing import Map, Rule
from werkzeug.serving import run_simple
from werkzeug.wrappers import Request, Response
from werkzeug.exceptions import InternalServerError
from app.collector import collect_sensors
c... | 0.621656 | 0.121555 |
from django.conf.urls import include, url
from django.contrib.auth import views as auth_views
from django.contrib import admin
from account.views import *
from community.views import *
from base.views import *
from django.conf.urls.static import static
from django.conf import settings
from rest_framework import route... | work/urls.py | from django.conf.urls import include, url
from django.contrib.auth import views as auth_views
from django.contrib import admin
from account.views import *
from community.views import *
from base.views import *
from django.conf.urls.static import static
from django.conf import settings
from rest_framework import route... | 0.281603 | 0.065785 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from neurolab import params as P
from neurolab import utils
from neurolab.model import Model
class Net(Model):
# Layer names
CONV1 = 'conv1'
RELU1 = 'relu1'
POOL1 = 'pool1'
BN1 = 'bn1'
CONV2 = 'conv2'
RELU2 = 'relu2'
BN2 = 'bn2'
CONV3 = 'con... | models/gdes/vae_6l.py | import torch
import torch.nn as nn
import torch.nn.functional as F
from neurolab import params as P
from neurolab import utils
from neurolab.model import Model
class Net(Model):
# Layer names
CONV1 = 'conv1'
RELU1 = 'relu1'
POOL1 = 'pool1'
BN1 = 'bn1'
CONV2 = 'conv2'
RELU2 = 'relu2'
BN2 = 'bn2'
CONV3 = 'con... | 0.791297 | 0.372391 |
import requests
from threading import *
import sys
import getopt
'''requests用于请求目标站点；
threading用于启用多线程；
sys用于解析命令行参数；
getopt用于处理命令行参数；'''
# 程序标识
def banner():
print("\n********************")
name = '''
.__ .__ ___. .__ __ .__
| |__ |__| \_ |__ |__| | | __ |__|
| | \ | | ... | hibiki.py | import requests
from threading import *
import sys
import getopt
'''requests用于请求目标站点；
threading用于启用多线程；
sys用于解析命令行参数；
getopt用于处理命令行参数；'''
# 程序标识
def banner():
print("\n********************")
name = '''
.__ .__ ___. .__ __ .__
| |__ |__| \_ |__ |__| | | __ |__|
| | \ | | ... | 0.09123 | 0.090534 |
from __future__ import annotations
from asyncio import Future, get_event_loop, wait_for
from re import search
from typing import TYPE_CHECKING, Any, Callable, Dict, Literal, Optional, Union
import aiohttp
# Internal imports
from .internals import CacheHandler, HTTPHandler, WebSocketHandler
if TYPE_CHECKING:
fro... | voltage/client.py | from __future__ import annotations
from asyncio import Future, get_event_loop, wait_for
from re import search
from typing import TYPE_CHECKING, Any, Callable, Dict, Literal, Optional, Union
import aiohttp
# Internal imports
from .internals import CacheHandler, HTTPHandler, WebSocketHandler
if TYPE_CHECKING:
fro... | 0.948882 | 0.19521 |
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import hawtorch
import hawtorch.io as io
from hawtorch import Trainer
import models
from torchvision import datasets, transforms
args = io.load_json("mnist_config.json")
logger = io.logger(args["workspace_path"])
d... | mnist/train.py | import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import hawtorch
import hawtorch.io as io
from hawtorch import Trainer
import models
from torchvision import datasets, transforms
args = io.load_json("mnist_config.json")
logger = io.logger(args["workspace_path"])
d... | 0.758868 | 0.394026 |
import warnings
import numpy as np
import pandas as pd
from .base import BaseExtensionTests
class BaseDtypeTests(BaseExtensionTests):
"""Base class for ExtensionDtype classes"""
def test_name(self, dtype):
assert isinstance(dtype.name, str)
def test_kind(self, dtype):
valid = set('biuf... | pandas/tests/extension/base/dtype.py | import warnings
import numpy as np
import pandas as pd
from .base import BaseExtensionTests
class BaseDtypeTests(BaseExtensionTests):
"""Base class for ExtensionDtype classes"""
def test_name(self, dtype):
assert isinstance(dtype.name, str)
def test_kind(self, dtype):
valid = set('biuf... | 0.532911 | 0.492249 |
import argparse
class SDParser:
"""Class for handling CLI interaction."""
def __init__(self) -> None:
"""See class docstring."""
self.parser = argparse.ArgumentParser()
self._add_optionals(self.parser)
self.subparsers = self._add_subparser(self.parser)
self.gen_pars... | schemadown/parser.py |
import argparse
class SDParser:
"""Class for handling CLI interaction."""
def __init__(self) -> None:
"""See class docstring."""
self.parser = argparse.ArgumentParser()
self._add_optionals(self.parser)
self.subparsers = self._add_subparser(self.parser)
self.gen_pars... | 0.7237 | 0.152568 |
import json
import random
import re
import sys
import threading
import time
from azure.iot.device import IoTHubDeviceClient, Message
AUX_CONNECTION_STRING = sys.argv[1]
AUX_BASE_HEART_RATE = 65
AUX_BASE_BODY_TEMPERATURE = 37.0
AUX_MAXIMUM_BODY_TEMPERATURE = 40.0
#SENSOR DATA WILL HOST SENSOR METRICS
... | iot-client/iot-hub-client-message.py | import json
import random
import re
import sys
import threading
import time
from azure.iot.device import IoTHubDeviceClient, Message
AUX_CONNECTION_STRING = sys.argv[1]
AUX_BASE_HEART_RATE = 65
AUX_BASE_BODY_TEMPERATURE = 37.0
AUX_MAXIMUM_BODY_TEMPERATURE = 40.0
#SENSOR DATA WILL HOST SENSOR METRICS
... | 0.1495 | 0.03394 |
from __future__ import unicode_literals
from django.db import transaction, IntegrityError
from django.test import TestCase
from .models import (Place, Restaurant, Waiter, ManualPrimaryKey, RelatedModel,
MultiModel)
class OneToOneTests(TestCase):
def setUp(self):
self.p1 = Place(name='<NAME>', addre... | tests/one_to_one/tests.py | from __future__ import unicode_literals
from django.db import transaction, IntegrityError
from django.test import TestCase
from .models import (Place, Restaurant, Waiter, ManualPrimaryKey, RelatedModel,
MultiModel)
class OneToOneTests(TestCase):
def setUp(self):
self.p1 = Place(name='<NAME>', addre... | 0.711932 | 0.434461 |
import math
import numpy as np
import torch
from torch.nn import init
np.random.seed(4)
# to compare with pytorch, we use the same init function as pytoch uses
def reset_paramters(weight_shape, bias_shape):
weight = torch.rand(weight_shape)
bias = torch.rand(bias_shape)
init.kaiming_uniform_(weight, a=... | vanilia_convolution/neural_layer.py | import math
import numpy as np
import torch
from torch.nn import init
np.random.seed(4)
# to compare with pytorch, we use the same init function as pytoch uses
def reset_paramters(weight_shape, bias_shape):
weight = torch.rand(weight_shape)
bias = torch.rand(bias_shape)
init.kaiming_uniform_(weight, a=... | 0.863938 | 0.601184 |